Hamyaria at PalmX2025: Leveraging Large Language Models to Improve Arabic Multiple-Choice Questions in Cultural and Islamic Domains

Walid Al-Dhabyani, Hamzah A. Alsayadi


Anthology ID:
2025.arabicnlp-sharedtasks.108
Volume:
Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks
Month:
November
Year:
2025
Address:
Suzhou, China
Editors:
Kareem Darwish, Ahmed Ali, Ibrahim Abu Farha, Samia Touileb, Imed Zitouni, Ahmed Abdelali, Sharefah Al-Ghamdi, Sakhar Alkhereyf, Wajdi Zaghouani, Salam Khalifa, Badr AlKhamissi, Rawan Almatham, Injy Hamed, Zaid Alyafeai, Areeb Alowisheq, Go Inoue, Khalil Mrini, Waad Alshammari
Venue:
ArabicNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
790–796
Language:
URL:
https://preview.aclanthology.org/ingest-emnlp/2025.arabicnlp-sharedtasks.108/
DOI:
Bibkey:
Cite (ACL):
Walid Al-Dhabyani and Hamzah A. Alsayadi. 2025. Hamyaria at PalmX2025: Leveraging Large Language Models to Improve Arabic Multiple-Choice Questions in Cultural and Islamic Domains. In Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks, pages 790–796, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):
Hamyaria at PalmX2025: Leveraging Large Language Models to Improve Arabic Multiple-Choice Questions in Cultural and Islamic Domains (Al-Dhabyani & A. Alsayadi, ArabicNLP 2025)
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PDF:
https://preview.aclanthology.org/ingest-emnlp/2025.arabicnlp-sharedtasks.108.pdf